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Probability Foundations for Data Science CourseWikia

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Files:
  1. Get Bonus Downloads Here.url 181 bytes
  2. 01 - Introduction to probability.mp4 3.3 MB
  3. 01 - Introduction to probability.srt 1.3 KB
  4. 02 - What you should know.mp4 1.3 MB
  5. 02 - What you should know.srt 1.6 KB
  6. 03 - Calculus review Limits and derivatives.mp4 10.3 MB
  7. 03 - Calculus review Limits and derivatives.srt 12.2 KB
  8. 04 - Calculus review Integrals.mp4 10.3 MB
  9. 04 - Calculus review Integrals.srt 12.2 KB
  10. 01 - Basic probability.mp4 14.9 MB
  11. 01 - Basic probability.srt 17.9 KB
  12. 02 - Random variables.mp4 7.2 MB
  13. 02 - Random variables.srt 7.7 KB
  14. 03 - Discrete distributions.mp4 7.7 MB
  15. 03 - Discrete distributions.srt 9.0 KB
  16. 04 - Continuous distributions.mp4 5.9 MB
  17. 04 - Continuous distributions.srt 7.2 KB
  18. 05 - Cumulative distributions.mp4 6.9 MB
  19. 05 - Cumulative distributions.srt 8.0 KB
  20. 06 - Joint distributions.mp4 13.0 MB
  21. 06 - Joint distributions.srt 14.9 KB
  22. 01 - Expectation.mp4 5.9 MB
  23. 01 - Expectation.srt 7.4 KB
  24. 02 - Expectation of discrete random variables.mp4 9.4 MB
  25. 02 - Expectation of discrete random variables.srt 11.1 KB
  26. 03 - Expectation of continuous random variables.mp4 7.8 MB
  27. 03 - Expectation of continuous random variables.srt 10.2 KB
  28. 04 - Conditional expectation.mp4 9.2 MB
  29. 04 - Conditional expectation.srt 11.1 KB
  30. 05 - Variance and standard deviation.mp4 5.6 MB
  31. 05 - Variance and standard deviation.srt 6.9 KB
  32. 06 - Discrete vs. continuous dispersion.mp4 7.2 MB
  33. 06 - Discrete vs. continuous dispersion.srt 8.0 KB
  34. 07 - Covariance.mp4 10.1 MB
  35. 07 - Covariance.srt 12.1 KB
  36. 08 - Correlation.mp4 7.4 MB
  37. 08 - Correlation.srt 9.6 KB
  38. 01 - Discrete distributions Introduction.mp4 3.0 MB
  39. 01 - Discrete distributions Introduction.srt 3.4 KB
  40. 02 - Discrete uniform distribution.mp4 6.5 MB
  41. 02 - Discrete uniform distribution.srt 7.7 KB
  42. 03 - Bernoulli distribution.mp4 7.0 MB
  43. 03 - Bernoulli distribution.srt 8.8 KB
  44. 04 - Binomial distribution.mp4 11.0 MB
  45. 04 - Binomial distribution.srt 13.1 KB
  46. 05 - Negative binomial distribution.mp4 11.5 MB
  47. 05 - Negative binomial distribution.srt 13.9 KB
  48. 06 - Geometric distribution.mp4 6.3 MB
  49. 06 - Geometric distribution.srt 7.8 KB
  50. 07 - Hypergeometric distribution.mp4 15.1 MB
  51. 07 - Hypergeometric distribution.srt 16.2 KB
  52. 08 - Poisson distribution.mp4 8.2 MB
  53. 08 - Poisson distribution.srt 9.3 KB
  54. 01 - Continuous distributions Introduction.mp4 3.1 MB
  55. 01 - Continuous distributions Introduction.srt 2.9 KB
  56. 02 - Uniform distribution.mp4 6.7 MB
  57. 02 - Uniform distribution.srt 8.6 KB
  58. 03 - Exponential distribution.mp4 7.7 MB
  59. 03 - Exponential distribution.srt 9.7 KB
  60. 04 - Gamma distribution.mp4 10.7 MB
  61. 04 - Gamma distribution.srt 12.9 KB
  62. 05 - Pareto distribution.mp4 9.1 MB
  63. 05 - Pareto distribution.srt 10.1 KB
  64. 06 - Standard normal distribution.mp4 14.1 MB
  65. 06 - Standard normal distribution.srt 14.0 KB
  66. 07 - Normal distribution.mp4 11.0 MB
  67. 07 - Normal distribution.srt 13.9 KB
  68. 08 - Chi-squared distribution.mp4 11.1 MB
  69. 08 - Chi-squared distribution.srt 13.6 KB
  70. 09 - t distribution.mp4 9.3 MB
  71. 09 - t distribution.srt 11.7 KB
  72. 10 - F distribution.mp4 12.2 MB
  73. 10 - F distribution.srt 14.2 KB
  74. 01 - Chebyshev's inequality.mp4 6.2 MB
  75. 01 - Chebyshev's inequality.srt 6.9 KB
  76. 02 - Weak Law of Large Numbers.mp4 6.3 MB
  77. 02 - Weak Law of Large Numbers.srt 7.6 KB
  78. 03 - Strong Law of Large Numbers.mp4 6.6 MB
  79. 03 - Strong Law of Large Numbers.srt 8.0 KB
  80. 04 - Monte Carlo Approximation.mp4 8.2 MB
  81. 04 - Monte Carlo Approximation.srt 9.4 KB
  82. 05 - Central Limit theorem.mp4 6.3 MB
  83. 05 - Central Limit theorem.srt 7.7 KB
  84. 06 - Normal approximation of the binomial distribution.mp4 8.6 MB
  85. 06 - Normal approximation of the binomial distribution.srt 10.1 KB
  86. 01 - Bayesian probability History.mp4 6.6 MB
  87. 01 - Bayesian probability History.srt 6.8 KB
  88. 02 - Bayes' theorem.mp4 7.7 MB
  89. 02 - Bayes' theorem.srt 8.7 KB
  90. 03 - Bayesian inference.mp4 8.6 MB
  91. 03 - Bayesian inference.srt 9.8 KB
  92. 04 - Frequentist vs. Bayesian probability.mp4 6.6 MB
  93. 04 - Frequentist vs. Bayesian probability.srt 8.1 KB
  94. 05 - Bayesian applications.mp4 9.9 MB
  95. 05 - Bayesian applications.srt 6.0 KB
  96. 01 - Maximum likelihood estimation (MLE).mp4 7.5 MB
  97. 01 - Maximum likelihood estimation (MLE).srt 8.7 KB
  98. 02 - MLE for binomial distribution.mp4 8.6 MB
  99. 02 - MLE for binomial distribution.srt 9.3 KB
  100. 03 - MLE for exponential distribution.mp4 6.5 MB
  101. 03 - MLE for exponential distribution.srt 7.7 KB
  102. 04 - MLE for normal distribution.mp4 11.1 MB
  103. 04 - MLE for normal distribution.srt 12.1 KB
  104. 05 - Maximum a posteriori estimation (MAP).mp4 7.5 MB
  105. 05 - Maximum a posteriori estimation (MAP).srt 8.9 KB
  106. 06 - MAP applications.mp4 15.2 MB
  107. 06 - MAP applications.srt 16.2 KB
  108. 01 - Next steps.mp4 3.7 MB
  109. 01 - Next steps.srt 1.6 KB
  110. Bonus Resources.txt 386 bytes

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